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1.
Curr Dev Nutr ; 5(2): nzaa180, 2021 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-33644632

RESUMEN

BACKGROUND: Microgreens are the young leafy greens of many vegetables, herbs, grains, and flowers with potential to promote human health and sustainably diversify the global food system. For successful further integration into the global food system and evaluation of their health impacts, it is critical to elucidate and optimize their nutritional quality. OBJECTIVES: We aimed to comprehensively evaluate the metabolite and mineral contents of 6 microgreen species, and the influence of maturity on their contents. METHODS: Plant species evaluated were from the Brassicaceae (arugula, broccoli, and red cabbage), Amaranthaceae (red beet and red amaranth), and Fabaceae (pea) plant families. Nontargeted metabolomics and ionomics analyses were performed to examine the metabolites and minerals, respectively, in each microgreen species and its mature counterpart. RESULTS: Nontargeted metabolomics analysis detected 3321 compounds, 1263 of which were annotated and included nutrients and bioactive compounds. Ionomics analysis detected and quantified 26 minerals including macrominerals, trace minerals, ultratrace minerals, and other metals. Principal component analysis indicated that microgreens have distinct metabolite and mineral profiles compared with one another and with their mature counterparts. Several compounds were higher (P  < 0.05; fold change ≥2) in microgreens compared with their mature counterparts, whereas some were not different or lower. In many cases, compounds that were higher in microgreens compared with the mature counterpart were also unique to that microgreen species. CONCLUSIONS: These data provide evidence for the nutritional quality of microgreens, and can inform future research and development aimed at characterizing and optimizing microgreen nutritional quality and health impacts.

2.
Nutrients ; 12(3)2020 Feb 25.
Artículo en Inglés | MEDLINE | ID: mdl-32106420

RESUMEN

The dietary fiber gap that is present in many countries co-exists with a low intake of grain legumes (pulses) that have 2-3 times more dietary fiber than cereal grains that are commonly recommended to increase fiber intake. Given the relationships among dietary fiber, gut health and chronic disease risk, a study was undertaken in a preclinical mouse model for obesity to examine how commonly consumed pulses, i.e., chickpea, common bean, dry pea and lentil, would impact gut microbes, intestinal function, and adiposity. Pulses were fed to C57BL/6 mice at similar levels of protein and fiber. Bacterial count in the cecum was elevated 3-fold by pulse consumption. At the phylum level, a 2.2- to 5-fold increase in Bacteriodetes relative to Firmicutes was observed. For Akkermansia muciniphila, a health-beneficial bacterium, differential effects were detected among pulses ranging from no effect to a 49-fold increase. Significant differences among pulses in biomarkers of intestinal function were not observed. Pulses reduced accumulation of lipid in adipose tissue with a greater reduction in the subcutaneous versus visceral depots. Metabolomics analysis indicated that 108 metabolites were highly different among pulse types, and several compounds are hypothesized to influence the microbiome. These results support recent recommendations to increase consumption of pulse-based foods for improved health, although all pulses were not equal in their effects.


Asunto(s)
Fibras de la Dieta/administración & dosificación , Disbiosis/prevención & control , Fabaceae/química , Conducta Alimentaria/fisiología , Mucosa Intestinal/fisiopatología , Obesidad/prevención & control , Adiposidad/fisiología , Animales , Dieta Alta en Grasa/efectos adversos , Modelos Animales de Enfermedad , Disbiosis/etiología , Disbiosis/microbiología , Disbiosis/fisiopatología , Microbioma Gastrointestinal/fisiología , Humanos , Mucosa Intestinal/metabolismo , Mucosa Intestinal/microbiología , Metabolismo de los Lípidos/fisiología , Masculino , Metabolómica , Ratones , Obesidad/etiología , Obesidad/metabolismo , Obesidad/fisiopatología
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